Senior Analytics Engineer

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About Us

Hungryroot is your partner in healthy living. We get to know your lifestyle, budget, health objectives, and preferences, and we recommend and deliver nutritious groceries, easy recipes and essential supplements for you and your family. It’s the easiest way to eat healthy, achieve your goals, save time at the store and in the kitchen, and live a healthy (and delicious) life. Founded on the belief that food is the foundation of health, convenience should not mean compromise, and we’re all unique in how we eat and live, Hungryroot is building a future in which healthy living is easy and enjoyable.

We are a distributed team built on top talent from over 28 states across the U.S. While we have a headquarters in New York City, we support employees working from wherever they are based. We believe in fostering team connection and collaboration across all of our employees' locations. Expect to attend regular team building events and an annual company retreat. Expect to be treated like an owner who cares about our common goal, not someone who has to clock in and out of work.

About the Role

We’re looking for a Senior Analytics Engineer to be a part of our growing Data Science team. You’ll be responsible for partnering directly with business teams to develop and maintain the LookML data schema in Looker to enable self-service for front-end users and Analysts to access common business data needs. Additionally, you will be responsible for building data models and performing analytics tasks for the Machine Learning and AI part of the team.
This role will join Hungryroot’s Data Science team and you’ll report to our VP of Data Science. In this critical role, you will work closely with our Analysts and Data Engineers to collaborate and design data warehouse schemas to improve our data models. The data models are designed to power Looker and other BI tools that our analysts use to understand various parts of the business and product. You will also work closely with our ML and AI team to build data models, perform analytics, build data pipelines and ensure that both the analysts and the ML/AI engineers have the right tools at hand. 

Responsibilities

  • Work with Analysts and Data Engineering team to develop data schemas in LookML and Databricks (SparkSQL) 
  • Work with the ML/AI team to build data models and data pipelines in Spark Scala, PySpark and SparkSQL
  • Be our data model expert for the company, unifying the various models needed by the various parties at the company.
  • Be an implementer, and build, test, and make sure the data models are healthy, reliable, and can be trusted by the various parties at the company
  • Own the data models used by the ML/AI team, such that the online machine learning models are up to date, accurate, and perform appropriate levels of predictions

Qualifications

  • 4+ years SQL data analytics and/or data engineering work using Databricks (SparkSQL)
  • 4+ years of helping to maintain (not just using) a BI platform (Looker). Including building visualizations and exposing/transforming data
  • 4+ years experience building and maintaining data pipelines at large scale,  that pertain to both data analytics and machine learning
  • Knowledge of database concepts (indexes, query plans) and experience with Analytical Data Modeling
  • Ability to explain complex technical concepts to non-technical stakeholders.
  • Demonstrated ability to work independently and collaboratively in a fast-paced environment.
  • Desire to teach Analysts how to build better data schemas and visualizations
  • Contextual understanding of problems to be solved, e.g. the larger goal vs an immediate technical solution, and be able to spot a better solution as a result

Perks & Benefits 

  • Remote Work Optional: Work from home, work from our NYC office, work from anywhere, you decide!
  • Competitive compensation + comprehensive Medical, Dental, and Vision benefits
  • Unlimited vacation policy
  • Monthly Hungryroot credit
  • Universal paid parental leave
  • 401k
  • Commuter benefits 
  • A working environment filled with passionate, happy, smart people!

#LI-REMOTE

The employer will not sponsor applicants for work visas.

The employer will not sponsor applicants for work visas.Our mission to help make healthy eating easy, accessible, and joyful is better served by a diverse workplace. We are a proud Equal Opportunity Employer committed to building an inclusive workplace. We have zero-tolerance for harassment or discrimination. We do not discriminate on the basis of any protected class




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An Insider's view of Hungryroot

What projects are you most excited about?

The most revolutionary & challenging project is our new data and machine learning infrastructure that will allow us to be the AI pioneer in the culinary/food space. Our goal is to remove *all* the tedium and frustration out of routine grocery shopping and meal planning, leaving only the excitement of preparation and enjoyment of healthy eating.

Dave Kong

CTO

How has your career grown since starting at the company?

I'm so grateful for the opportunity I've had to learn and grow with Hungryroot! I was encouraged to explore areas of the business where I could make the most impact until I came to lead the creative team. I've become a more strategic designer and leader, all while helping people live healthier lives!

Lisa Zagari

Creative Director

What is your vision for the company?

To create the easiest way to shop and eat healthy. As the first online grocer built for customers and their individual needs, Hungryroot is redefining grocery shopping through personalization and artificial intelligence. We’re helping people save time, reduce food waste, and discover delicious food so they can feel great and live better lives.

Ben McKean

CEO

What are Hungryroot Perks + Benefits

Culture
Volunteer in local community
Open door policy
OKR operational model
Open office floor plan
Flexible work schedule
Remote work program
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability insurance
Dental insurance
Vision insurance
Health insurance
Life insurance
Financial & Retirement
401(K)
Company equity
Child Care & Parental Leave Benefits
Generous parental leave
Vacation & Time Off Benefits
Unlimited vacation policy
Paid holidays
Paid sick days
Office Perks
Commuter benefits
Free snacks and drinks
Company-sponsored happy hours
Pet friendly
Professional Development Benefits
Lunch and learns
Promote from within

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